- From: Michael Belanger <mpbelanger@semantxls.com>
- Date: Sun, 21 Aug 2005 16:10:01 -0400
- To: <www-rdf-logic@w3.org>
- Message-ID: <E1E6w8y-0003SZ-CL@maggie.w3.org>
Location Change Notice: This Semantic Web Life Sciences event next Tuesday - is now in Waltham – See the attached REVISED information and pass it along to others. Cordially, Michael P. Belanger 1-781-890-1555, x206 Cofounder, President SemanTx Life Sciences, Inc. www.semantxls.com Semantic Web for Bioinformatics Tutorial on August 23, 10 am – 3 pm Introduction to the Semantic Web for Bioinformatics Kenneth Baclawski, PhD Associate Professor of Computer Science, College of Computer and Information Science, Northeastern University Biologists heavily use the web, but the web is geared much more toward human interaction than automated processing. While the web gives biologists access to information, it does not allow them to easily integrate different data sources or to incorporate additional analysis tools. The Semantic Web addresses these problems by annotating web resources and by providing reasoning and retrieval facilities from heterogeneous sources. This tutorial introduces the basic languages of the Semantic Web from the point of view of the life sciences, especially bioinformatics. The objective is to cover the major web ontology languages, what they mean and how they are used. The emphasis will be on pragmatic application issues. The goal is for participants to have a understanding of the Semantic Web sufficient for them to be able to make decisions about whether and how to use the Semantic Web. Ken Baclawski is an Associate Professor of Computer Science at Northeastern University. He is also affiliated with the Division of Preventive Medicine of Brigham and Women’s Hospital at the Harvard Medical School. His primary research area is formal ontologies, and he has been actively working in the area of biomedical ontologies since 1992. He is co-founder of Jarg Corporation and SemanTx Life Sciences, Inc. Prof. Baclawski has been active in the development of the Semantic Web since it was first proposed, being part of the team that developed the DAML+OIL language, later renamed the Web Ontology Language (OWL). Prof. Baclawski and Prof. Tianhua Niu of the Harvard Medical School have written a book on the subject of the proposed tutorial, titled Ontologies for Bioinformatics. This book has been accepted for publication by the MIT Press as part of their series on Computational Molecular Biology. The book is scheduled to appear in September, 2005. _____ The MIT Press HOME | YOUR <https://mitpress.mit.edu/account/profile/default.asp> PROFILE | TO ORDER | CONTACT US | FAQ Browse by Topic Go to Books Homepage pipe Go to Journals Homepage October 2005 ISBN 0-262-02591-4 7 x 9, 440 pp., 70 illus. $45.00/£29.95 (CLOTH) Series Computational Molecular Biology Ontologies for Bioinformatics Kenneth Baclawski and Tianhua Niu Recent advances in biotechnology, spurred by the Human Genome Project, have resulted in the accumulation of vast amounts of new data. Ontologies -- computer-readable, precise formulations of concepts (and the relationship among them) in a given field -- are a critical framework for coping with the exponential growth of valuable biological data generated by high-output technologies. This book introduces the key concepts and applications of ontologies and ontology languages in bioinformatics and will be an essential guide for bioinformaticists, computer scientists, and life science researchers. The three parts of Ontologies for Bioinformatics ask, and answer, three pivotal questions: what ontologies are; how ontologies are used; and what ontologies could be (which focuses on how ontologies could be used for reasoning with uncertainty). The authors first introduce the notion of an ontology, from hierarchically organized ontologies to more general network organizations, and survey the best-known ontologies in biology and medicine. They show how to construct and use ontologies, classifying uses into three categories: querying, viewing, and transforming data to serve diverse purposes. Contrasting deductive, or Boolean, logic with inductive reasoning, they describe the goal of a synthesis that supports both styles of reasoning. They discuss Bayesian networks as a way of expressing uncertainty, describe data fusion, and propose that the World Wide Web can be extended to support reasoning with uncertainty. They call this inductive reasoning web the Bayesian web. Kenneth Baclawski is Associate Professor of Computer Science at Northeastern University and Cofounder of Semantx Life Sciences; Div of Jarg Corp. Tianhua Niu is Assistant Professor of Medicine at Harvard Medical School and Director of Bioinformatics, Division of Preventive Medicine, at Brigham and Women's Hospital, Boston. Search Title Author Keyword ISBN/ISSN Advanced Search Join <https://mitpress.mit.edu/shared/mlist/subscribe.asp?ttype=2&tid=10675> an E-mail Alert List -- No virus found in this outgoing message. Checked by AVG Anti-Virus. Version: 7.0.323 / Virus Database: 267.8.12/46 - Release Date: 7/11/05
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Received on Tuesday, 23 August 2005 08:21:02 UTC